Forensic Web Analytics: Identify Cause & Date of Significant Traffic Drop for CrownJewelers.com
Budget: $10 – $30 USD
I am seeking an experienced SEO Data Analyst to investigate a significant historical drop in traffic to my website, CrownJewelers.com. The goal of this project is to pinpoint the exact month and year the decline began and identify the most likely technical or algorithmic cause.
Key Objectives:
Timeline Identification: Determine the precise month and year when traffic began to significantly deviate from previous trends.
Root Cause Analysis: Analyze whether the drop correlates with specific events, such as:
Google Algorithm Updates (e.g., Panda, Penguin, Core updates).
Technical site changes or migrations.
Loss of key backlinks or domain authority.
Indexing or "manual action" issues.
Data Integration: Use a combination of available first-party data (Google Analytics/Search Console) and third-party tools (Semrush, Ahrefs, Wayback Machine) to reconstruct the timeline.
Deliverables:
The "When" Report: A clear timeline showing the site's peak traffic vs. the start of the decline.
The "Why" Analysis: A technical summary of the most likely cause (e.g., "Correlates with the March 2019 Core Update due to thin content issues").
Recovery Potential: A brief assessment of whether the lost traffic is recoverable under current search conditions.
Requirements:
Expertise in Google Analytics forensic auditing.
Proficiency with Semrush/Ahrefs historical data tools.
Strong understanding of the history of Google Algorithm updates.
Ability to provide a clear, data-backed explanation for complex traffic patterns.
Key Objectives:
Timeline Identification: Determine the precise month and year when traffic began to significantly deviate from previous trends.
Root Cause Analysis: Analyze whether the drop correlates with specific events, such as:
Google Algorithm Updates (e.g., Panda, Penguin, Core updates).
Technical site changes or migrations.
Loss of key backlinks or domain authority.
Indexing or "manual action" issues.
Data Integration: Use a combination of available first-party data (Google Analytics/Search Console) and third-party tools (Semrush, Ahrefs, Wayback Machine) to reconstruct the timeline.
Deliverables:
The "When" Report: A clear timeline showing the site's peak traffic vs. the start of the decline.
The "Why" Analysis: A technical summary of the most likely cause (e.g., "Correlates with the March 2019 Core Update due to thin content issues").
Recovery Potential: A brief assessment of whether the lost traffic is recoverable under current search conditions.
Requirements:
Expertise in Google Analytics forensic auditing.
Proficiency with Semrush/Ahrefs historical data tools.
Strong understanding of the history of Google Algorithm updates.
Ability to provide a clear, data-backed explanation for complex traffic patterns.